Advanced Data Analyst and BI Developer

We are a transformative digital bank with a mission to revolutionize the way money works. We create better financial products by encouraging inclusivity through simplifying processes, reducing costs, improving transparency and embracing flexibility to empower more people with unique financial needs, on the most secure mobile banking platform. To enable this, innovation is woven into the DNA of our company. Headquartered in Singapore, TONIK is in the process of launching operations across Southeast Asia. We don't just search for the best talent, but for people who seek to challenge the status quo and are passionate about transforming the impossible into reality.

Responsibilities:

Data Analysis: Conduct in-depth data analysis to uncover insights, identify trends, and inform strategic decisions.

Develop user friendly dashboards with complex business metrics. Must build solid understanding of the data sources to write very efficient queries to pull the required data for analysis

Feature Engineering: Create innovative features from diverse data sources which can be used for deeper analysis and/or model building.

Model Development: Build and maintain predictive models (e.g., credit risk, propensity, segmentation, attribution) using advanced techniques like CatBoost, LightGBM, Logistic regression, Clustering etc.

Model Explanation: Effectively communicate model outcomes and insights to business stakeholders, ensuring clear understanding and adoption.

Collaboration: Work closely with regional teams, including risk, collection, operations, and marketing, to deliver impactful solutions.

Project Management: Independently manage your own workstream, ensuring timely delivery and adherence to project objectives.

Qualifications:

BS/ MS in Computer Science/ Analytics/ Statistics/ Mathematics/ Physics/ other Science or Engineering Disciplines. Post graduation, 2-5 years of relevant Industry Experience.

Strong proficiency in Python and SQL for data manipulation and analysis. Ability to work with large datasets and perform efficient data processing.

Solid understanding of statistical concepts and methods (e.g., hypothesis testing, regression analysis, probability distributions).

Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker, QlikView etc.) to create compelling and informative visualizations.

Experience in building and deploying predictive models in a financial services context. Knowledge of machine learning algorithms and techniques (e.g., regression, classification, clustering).

Experience working in a startup environment with a focus on agility, innovation, and problem-solving.

Background in Risk, collection, operations, or marketing divisions of Financial Services or Retail/ Healthcare or similar B2C company is a plus, as it will provide a unique perspective on business challenges.

Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams. A self-motivated and results-oriented mindset with a strong ability to adapt to changing environments and continuously learn new skills.

Experience with cloud-based platforms (e.g., AWS, GCP, Azure).

A strong understanding of financial concepts and risk management.

Able to communicate complex concepts persuasively to different audiences and levels within the organization.

Responsible, self-motivated, must be capable of and enjoy working independently, driving decisions, and having an entrepreneurial mindset.

Wants to be challenged and looking for an entrepreneurial setup/culture.

Passionate about making a difference in the unbanked segment.

Able to communicate complex concepts persuasively to different audiences and levels within the organization.

Responsible, self-motivated, must be capable of and enjoy working independently, driving decisions, and having an entrepreneurial mindset.

Wants to be challenged and looking for an entrepreneurial setup/culture.

Passionate about making a difference in the unbanked segment.